Peak Ground Acceleration Analysis using Past Earthquake Data
Swetha Elizabeth Philip,M. Helen Santhi +1 more
- Vol. 1716, Iss: 1, pp 012013
TLDR
In this article, the authors presented a study to predict peak ground acceleration of Maharashtra, India by using Excel and MATLAB tools, which used the available parameters used for the prediction are PGA, epicentral distance, depth and moment magnitude from the year 1912 to 2009.Abstract:
Peak Ground Acceleration (PGA) is one of the important parameters in the design of seismic resistant structures. In order to predict the value of PGA for a particular place, the past seismic history of that place in terms of data sets is required. The seismic data analysis of regions or nations becomes mandatory due to the frequent occurrence of earthquakes worldwide. This paper presents a study to predict peak ground acceleration of Maharashtra, India by using Excel and MATLAB tools. The available parameters used for the prediction are PGA, epicentral distance, depth and moment magnitude from the year 1912 to 2009. Both the tools have good fit in the prediction of PGA of Maharashtra (R2 >0.9); however Excel may be preferred because of its simplicity and flexibility in handling the data sets.read more
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References
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Journal ArticleDOI
Relationships between peak ground acceleration, peak ground velocity, and Modified Mercalli Intensity in California
TL;DR: This article developed regression relationships between Modified Mercalli Intensity (Imm) and peak ground acceleration (PGA) and velocity (PGV) by comparing horizontal peak ground motions to observed intensities for eight significant California earthquakes.
Journal ArticleDOI
The correlation of peak ground acceleration amplitude with seismic intensity and other physical parameters
John R. Murphy,L. J. O'Brien +1 more
TL;DR: In this paper, an analysis of acceleration/intensity correlations has been carried out using a new, worldwide data sample compiled for this study from data measured from nearly 1500 strong-motion accelerograms.
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Ground motion prediction equation considering combined dataset of recorded and simulated ground motions
TL;DR: In this paper, the authors developed a new ground motion predictive equation (GMPE) for the Himalayan region considering both the recorded and simulated earthquakes of moment magnitude 5.3-8.7.
Journal ArticleDOI
Peak ground motion predictions in India: an appraisal for rock sites
TL;DR: In this paper, the authors used Macroseismic intensity data complemented with limited strong ground-motion recordings for the purpose of predicting peak ground accelerations at the rock sites in India and corroborated the possible conformity between the GMPEs developed for tectonically active shallow crust across the globe.